mirror of
https://github.com/openclaw/openclaw.git
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* refactor: extract agent core package Introduce packages/agent-core as the OpenClaw-owned home for reusable agent loop, harness, session, prompt, and runtime dependency contracts. * refactor: extract shared llm runtime Move provider model registries, stream wrappers, OAuth helpers, and LLM utilities into src/llm with plugin-sdk barrels instead of depending on the old embedded runtime layout. * refactor: remove pi runtime internals Rename remaining Pi-shaped agent surfaces to OpenClaw agent runtime names, delete obsolete Pi docs and package graph checks, and add the third-party notice for incorporated code. * refactor: tighten agent session runtime Make agent-core/runtime dependencies explicit, consolidate compaction and session transcript helpers, and move model/session helpers behind OpenClaw-owned contracts. * refactor: remove static model and pi auth paths Drop static model catalogs and Pi auth bridges, move model/provider facts to manifest-owned runtime contracts, and harden internal embedded-agent utilities. * refactor: remove legacy provider compat paths * docs: remove agent parity notes * fix: skip provider wildcard metadata parsing * refactor: share session extension sdk loading * refactor: inline acpx proxy error formatter * refactor: fold edit recovery into edit tool * fix: accept extension batch separator * test: align startup provider plugin expectations * fix: restore provider-scoped release discovery * test: align static asset packaging expectations * fix: run static provider catalogs during scoped discovery * fix: add provider entry catalogs for scoped live discovery * fix: load lightweight provider catalog entries * fix: refresh provider-scoped plugin metadata * fix: keep provider catalog entries on release live path * fix: keep static manifest models in release live checks * fix: harden release model discovery * fix: reduce OpenAI live cache probe reasoning * fix: disable OpenAI cache probe reasoning * ci: extend OpenAI gateway live timeout * fix: extend live gateway model budget * fix: stabilize release validation regressions * fix: honor provider aliases in model rows * fix: stabilize release validation lanes * fix: stabilize release memory qa * ci: stabilize release validation lanes * ci: prefer ipv4 for live docker node calls * fix: restore shared tool-call stream wrapper * ci: remove legacy pi test shard alias * fix: clean up embedded agent test drift * fix: stabilize runtime alias status * fix: clean up embedded agent ci drift * fix: restore release ci invariants * fix: clean up post-rebase runtime drift * fix: restore release ci checks * fix: restore release ci after rebase * fix: remove stale pi runtime path * test: align compaction runtime expectations * test: update plugin prerelease expectations * fix: handle claude live tool approvals * fix: stabilize release validation gates * fix: finish agent runtime import * test: finish post-rebase agent runtime mocks * fix: keep codex compaction native * fix: stabilize codex app-server hook tests * test: isolate codex diagnostic active run * test: remove codex diagnostic completion race # Conflicts: # extensions/codex/src/app-server/run-attempt.test.ts * ci: fix full release manifest performance run id * refactor: narrow llm plugin sdk boundary * chore: drop generated google boundary stamps * fix: repair rebase fallout * fix: clean up rebased runtime references * fix: decode codex jwt payloads as base64url * fix: preserve shipped pi runtime alias * fix: add scoped sdk virtual modules * fix: decode llm codex oauth jwt as base64url * fix: avoid stale vertex adc negative cache * fix: harden tool arg decoding and codeql path * fix: keep vertex adc negative checks live * refactor: consolidate codex jwt and edit helpers * fix: await codex oauth node runtime imports * fix: preserve sdk tool and notice contracts * fix: preserve shipped compat config boundaries * fix: align codex oauth callback host * fix: terminate agent-core loop streams on failure * fix: keep codex oauth callback alive during fallback * ci: include session tools in critical codeql scans * fix: keep Cloudflare Anthropic provider auth header * docs: redirect legacy pi runtime pages * fix: honor bundled web provider compat discovery * fix: protect session output spill files * fix: keep legacy agent dir env blocked * fix: contain auto-discovered skill symlinks * fix: harden agent core sdk proxy surfaces * fix: restore approval reaction sdk compat * fix: keep live docker runs bounded * fix: keep codex oauth redirect host aligned * fix: resolve post-rebase agent runtime drift * fix: redact anthropic oauth parse failures * fix: preserve responses strict tool shaping * fix: repair agent runtime rebase cleanup * docs: redirect retired parity pages * fix: bound auto-discovered resources to roots * fix: repair post-rebase agent test drift * fix: preserve bundled provider allowlist migration * fix: preserve manifest-owned provider aliases * fix: declare photon image dependency * fix: keep provider headers out of proxy body * fix: preserve shipped env aliases * fix: refresh control ui i18n generated state * fix: quote read fallback paths * fix: preview edits through configured backend * test: satisfy core test typecheck * fix: preserve ZAI usage auth fallback * test: repair codex diagnostic test * fix: repair agent runtime rebase drift * test: finish embedded runner import rename * fix: repair agent runtime rebase integrations * test: align compaction oauth fallback expectations * fix: allow sdk-auth session models * fix: update doctor tool schema import * fix: preserve bedrock plugin region * fix: stream harmony-like prose immediately * ci: include session runtime in codeql shards * fix: repair latest rebase integrations * fix: honor explicit codex websocket transport * fix: keep openai-compatible credentials provider-scoped * fix: refresh sdk api baseline after rebase * fix: route cli runtime aliases through openclaw harness * test: rename stale harness mock expectation * test: rename embedded agent overflow calls * test: clean embedded auth test wording * test: use openclaw stream types in deepinfra cache test * fix: refresh sdk api baseline on latest main * fix: honor bundled discovery compat allowlists * fix: refresh sdk api baseline after latest rebase * fix: remove stale rebase imports * test: rename stale model catalog mock * test: mock renamed doctor runtime modules * fix: map canonical kimi env auth * fix: use internal model registry in bench script * fix: migrate deepinfra provider catalog entry * fix: enforce builtin tool suppression * fix: route compaction auth and proxy payloads safely * refactor: prune unused llm registry leftovers * test: update codex hooks session import * test: fix model picker ci coverage * test: align model picker auth mock types
464 lines
15 KiB
TypeScript
464 lines
15 KiB
TypeScript
import type { StreamFn } from "openclaw/plugin-sdk/agent-core";
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import type { Context, Model } from "openclaw/plugin-sdk/llm";
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import { createAssistantMessageEventStream } from "openclaw/plugin-sdk/llm";
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import {
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registerSingleProviderPlugin,
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resolveProviderPluginChoice,
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} from "openclaw/plugin-sdk/plugin-test-runtime";
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import { buildOpenAICompletionsParams } from "openclaw/plugin-sdk/provider-transport-runtime";
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import { describe, expect, it } from "vitest";
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import { runSingleProviderCatalog } from "../test-support/provider-model-test-helpers.js";
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import xiaomiPlugin from "./index.js";
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import { createMiMoThinkingWrapper } from "./stream.js";
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type OpenAICompletionsModel = Model<"openai-completions">;
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type PayloadCapture = {
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payload?: Record<string, unknown>;
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};
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type ThinkingPayload = {
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type?: unknown;
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};
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type ReplayToolCall = {
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id?: unknown;
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type?: unknown;
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function?: {
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name?: unknown;
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arguments?: unknown;
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};
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};
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type RegisteredProvider = Awaited<ReturnType<typeof registerSingleProviderPlugin>>;
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type FakeStream = {
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result: () => Promise<unknown>;
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[Symbol.asyncIterator]: () => AsyncIterator<unknown>;
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};
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const emptyUsage = {
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input: 0,
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output: 0,
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cacheRead: 0,
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cacheWrite: 0,
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totalTokens: 0,
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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};
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function requireThinkingProfileResolver(
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provider: RegisteredProvider,
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): NonNullable<RegisteredProvider["resolveThinkingProfile"]> {
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if (!provider.resolveThinkingProfile) {
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throw new Error("Xiaomi provider did not register a thinking profile resolver");
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}
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return provider.resolveThinkingProfile;
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}
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const readToolCall = { type: "toolCall", id: "call_1", name: "read", arguments: {} };
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const readToolResult = {
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role: "toolResult",
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toolCallId: "call_1",
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toolName: "read",
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content: [{ type: "text", text: "ok" }],
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isError: false,
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timestamp: 3,
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};
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const readTool = {
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name: "read",
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description: "Read data",
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parameters: { type: "object", properties: {}, required: [], additionalProperties: false },
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};
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function mimoReasoningModel(
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id: "mimo-v2-pro" | "mimo-v2-omni" | "mimo-v2.5" | "mimo-v2.5-pro" | "mimo-v2.6-pro",
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): OpenAICompletionsModel {
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return {
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provider: "xiaomi",
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id,
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name: id,
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api: "openai-completions",
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baseUrl: "https://api.xiaomimimo.com/v1",
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reasoning: true,
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input: ["text"],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 1_048_576,
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maxTokens: 32_000,
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compat: {},
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} as OpenAICompletionsModel;
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}
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function replayAssistantMessage(params: {
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provider: string;
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model: string;
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content: Array<Record<string, unknown>>;
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stopReason: "stop" | "toolUse";
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}) {
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return {
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role: "assistant",
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api: "openai-completions",
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provider: params.provider,
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model: params.model,
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content: params.content,
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usage: emptyUsage,
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stopReason: params.stopReason,
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timestamp: 2,
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};
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}
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function readToolReplayContext(assistantMessage: ReturnType<typeof replayAssistantMessage>) {
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return {
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messages: [{ role: "user", content: "hi", timestamp: 1 }, assistantMessage, readToolResult],
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tools: [readTool],
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} as Context;
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}
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function mimoReasoningToolReplayContext() {
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return readToolReplayContext(
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replayAssistantMessage({
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provider: "xiaomi",
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model: "mimo-v2.5-pro",
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content: [
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{
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type: "thinking",
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thinking: "call reasoning",
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thinkingSignature: "reasoning_content",
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},
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readToolCall,
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],
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stopReason: "toolUse",
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}),
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);
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}
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function createPayloadCapturingStream(capture: PayloadCapture, model: OpenAICompletionsModel) {
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return (
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_streamModel: OpenAICompletionsModel,
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streamContext: Context,
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options?: { onPayload?: (payload: unknown, m: unknown) => unknown },
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) => {
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capture.payload = buildOpenAICompletionsParams(model, streamContext, {
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reasoning: "high",
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} as never);
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options?.onPayload?.(capture.payload, model);
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const stream = createAssistantMessageEventStream();
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queueMicrotask(() => stream.end());
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return stream;
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};
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}
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function createFakeStream(params: { events: unknown[]; resultMessage: unknown }): FakeStream {
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return {
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async result() {
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return params.resultMessage;
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},
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[Symbol.asyncIterator]() {
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return (async function* () {
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for (const event of params.events) {
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yield event;
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}
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})();
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},
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};
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}
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function createResultStreamFn(params: { events?: unknown[]; resultMessage: unknown }): StreamFn {
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return () =>
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createFakeStream({
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events: params.events ?? [],
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resultMessage: params.resultMessage,
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}) as ReturnType<StreamFn>;
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}
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function requireThinkingWrapper(
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wrapper: ReturnType<typeof createMiMoThinkingWrapper>,
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label: string,
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): NonNullable<ReturnType<typeof createMiMoThinkingWrapper>> {
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if (!wrapper) {
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throw new Error(`expected MiMo thinking wrapper for ${label}`);
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}
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return wrapper;
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}
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function readThinking(payload: Record<string, unknown> | undefined): ThinkingPayload | undefined {
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return payload?.thinking as ThinkingPayload | undefined;
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}
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function readPayloadMessage(
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capture: PayloadCapture,
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index: number,
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): Record<string, unknown> | undefined {
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return (capture.payload?.messages as Array<Record<string, unknown>> | undefined)?.[index];
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}
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function readFirstToolCall(
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message: Record<string, unknown> | undefined,
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): ReplayToolCall | undefined {
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return (message?.tool_calls as ReplayToolCall[] | undefined)?.[0];
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}
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describe("xiaomi provider plugin", () => {
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it("registers Xiaomi with api-key auth metadata", async () => {
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const provider = await registerSingleProviderPlugin(xiaomiPlugin);
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const resolved = resolveProviderPluginChoice({
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providers: [provider],
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choice: "xiaomi-api-key",
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});
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expect(provider.id).toBe("xiaomi");
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expect(provider.label).toBe("Xiaomi");
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expect(provider.envVars).toEqual(["XIAOMI_API_KEY"]);
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expect(provider.auth).toHaveLength(1);
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if (!resolved) {
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throw new Error("expected Xiaomi api-key auth choice");
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}
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expect(resolved.provider.id).toBe("xiaomi");
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expect(resolved.method.id).toBe("api-key");
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});
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it("builds the static Xiaomi model catalog with reasoning flags", async () => {
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const provider = await registerSingleProviderPlugin(xiaomiPlugin);
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const catalogProvider = await runSingleProviderCatalog(provider);
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expect(catalogProvider.api).toBe("openai-completions");
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expect(catalogProvider.baseUrl).toBe("https://api.xiaomimimo.com/v1");
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const modelIds = catalogProvider.models?.map((m) => m.id);
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expect(modelIds).toContain("mimo-v2-pro");
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expect(modelIds).toContain("mimo-v2-omni");
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expect(modelIds).toContain("mimo-v2-flash");
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expect(catalogProvider.models?.find((m) => m.id === "mimo-v2-pro")?.reasoning).toBe(true);
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expect(catalogProvider.models?.find((m) => m.id === "mimo-v2-omni")?.reasoning).toBe(true);
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expect(catalogProvider.models?.find((m) => m.id === "mimo-v2-flash")?.reasoning).toBeFalsy();
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});
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it("owns OpenAI-compatible replay policy", async () => {
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const provider = await registerSingleProviderPlugin(xiaomiPlugin);
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const replayPolicy = provider.buildReplayPolicy?.({ modelApi: "openai-completions" } as never);
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expect(replayPolicy?.sanitizeToolCallIds).toBe(true);
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expect(replayPolicy?.toolCallIdMode).toBe("strict");
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expect(replayPolicy?.validateGeminiTurns).toBe(true);
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expect(replayPolicy?.validateAnthropicTurns).toBe(true);
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});
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it("marks resolved MiMo models for empty array items omission", async () => {
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const provider = await registerSingleProviderPlugin(xiaomiPlugin);
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const model = mimoReasoningModel("mimo-v2.5");
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const normalized = provider.normalizeResolvedModel?.({
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provider: "xiaomi",
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modelId: model.id,
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modelApi: model.api,
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model,
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} as never);
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expect(
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(normalized?.compat as { omitEmptyArrayItems?: unknown } | undefined)?.omitEmptyArrayItems,
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).toBe(true);
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});
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it("advertises thinking profiles for MiMo reasoning models only", async () => {
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const provider = await registerSingleProviderPlugin(xiaomiPlugin);
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const resolveThinkingProfile = requireThinkingProfileResolver(provider);
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const expectedLevels = ["off", "minimal", "low", "medium", "high", "xhigh", "max"];
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for (const modelId of [
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"mimo-v2-pro",
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"mimo-v2-omni",
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"mimo-v2.5",
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"mimo-v2.5-pro",
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"mimo-v2.6-pro",
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]) {
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const profile = resolveThinkingProfile({ provider: "xiaomi", modelId } as never);
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expect(profile?.levels.map((l) => l.id)).toEqual(expectedLevels);
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expect(profile?.defaultLevel).toBe("high");
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}
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expect(resolveThinkingProfile({ provider: "xiaomi", modelId: "mimo-v2-flash" } as never)).toBe(
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undefined,
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);
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});
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it("isModernModelRef returns true only for MiMo reasoning models", async () => {
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const provider = await registerSingleProviderPlugin(xiaomiPlugin);
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expect(
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provider.isModernModelRef?.({ provider: "xiaomi", modelId: "mimo-v2.5-pro" } as never),
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).toBe(true);
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expect(
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provider.isModernModelRef?.({ provider: "xiaomi", modelId: "mimo-v2.6-pro" } as never),
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).toBe(true);
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expect(
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provider.isModernModelRef?.({ provider: "xiaomi", modelId: "mimo-v2-pro" } as never),
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).toBe(true);
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expect(
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provider.isModernModelRef?.({ provider: "xiaomi", modelId: "mimo-v2-flash" } as never),
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).toBe(false);
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});
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it("adds blank reasoning_content for replayed tool calls from non-xiaomi turns", async () => {
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const capture: PayloadCapture = {};
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const model = mimoReasoningModel("mimo-v2.5-pro");
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const context = readToolReplayContext(
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replayAssistantMessage({
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provider: "openai",
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model: "gpt-5.5",
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content: [readToolCall],
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stopReason: "toolUse",
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}),
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);
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const baseStreamFn = createPayloadCapturingStream(capture, model);
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const wrapThinkingHigh = requireThinkingWrapper(
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createMiMoThinkingWrapper(baseStreamFn as never, "high"),
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"high",
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);
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await wrapThinkingHigh(model, context, {});
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const assistantMessage = readPayloadMessage(capture, 1);
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expect(assistantMessage?.role).toBe("assistant");
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expect(assistantMessage?.reasoning_content).toBe("");
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const toolCall = readFirstToolCall(assistantMessage);
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expect(toolCall?.id).toBe("call_1");
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expect(toolCall?.type).toBe("function");
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expect(toolCall?.function?.name).toBe("read");
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expect(toolCall?.function?.arguments).toBe("{}");
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});
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it("preserves replayed reasoning_content when MiMo thinking is enabled", async () => {
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const capture: PayloadCapture = {};
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const model = mimoReasoningModel("mimo-v2.5-pro");
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const context = mimoReasoningToolReplayContext();
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const baseStreamFn = createPayloadCapturingStream(capture, model);
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const wrapThinkingHigh = requireThinkingWrapper(
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createMiMoThinkingWrapper(baseStreamFn as never, "high"),
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"high",
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);
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await wrapThinkingHigh(model, context, {});
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expect(readThinking(capture.payload)?.type).toBe("enabled");
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const assistantMessage = readPayloadMessage(capture, 1);
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expect(assistantMessage?.role).toBe("assistant");
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expect(assistantMessage?.reasoning_content).toBe("call reasoning");
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const toolCall = readFirstToolCall(assistantMessage);
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expect(toolCall?.id).toBe("call_1");
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expect(toolCall?.type).toBe("function");
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expect(toolCall?.function?.name).toBe("read");
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});
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it("strips reasoning_content when MiMo thinking is disabled", async () => {
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const capture: PayloadCapture = {};
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const model = mimoReasoningModel("mimo-v2-pro");
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const context = mimoReasoningToolReplayContext();
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const baseStreamFn = createPayloadCapturingStream(capture, model);
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const wrapThinkingNone = requireThinkingWrapper(
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createMiMoThinkingWrapper(baseStreamFn as never, "none" as never),
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"none",
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);
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await wrapThinkingNone(model, context, {});
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expect(readThinking(capture.payload)?.type).toBe("disabled");
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expect((capture.payload?.messages as Array<Record<string, unknown>>)[1]).not.toHaveProperty(
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"reasoning_content",
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);
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});
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it.each(["mimo-v2-pro", "mimo-v2-omni"] as const)(
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"promotes reasoning-only terminal output to visible text for %s",
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async (modelId) => {
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const model = mimoReasoningModel(modelId);
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const wrapped = requireThinkingWrapper(
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createMiMoThinkingWrapper(
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createResultStreamFn({
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events: [
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{
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type: "message_end",
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message: {
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role: "assistant",
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content: [{ type: "thinking", thinking: "MiMo final answer" }],
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stopReason: "stop",
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},
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},
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],
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resultMessage: {
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role: "assistant",
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content: [{ type: "thinking", thinking: "MiMo final answer" }],
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stopReason: "stop",
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},
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}),
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"high",
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),
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modelId,
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);
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const stream = (await wrapped(model, { messages: [] } as Context, {})) as FakeStream;
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const events: unknown[] = [];
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for await (const event of stream) {
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events.push(event);
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}
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expect(events).toEqual([
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{
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type: "message_end",
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message: {
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role: "assistant",
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content: [{ type: "text", text: "MiMo final answer" }],
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stopReason: "stop",
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},
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},
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]);
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await expect(stream.result()).resolves.toEqual({
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role: "assistant",
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content: [{ type: "text", text: "MiMo final answer" }],
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stopReason: "stop",
|
|
});
|
|
},
|
|
);
|
|
|
|
it("does not promote reasoning when the MiMo assistant turn also has text or tool calls", async () => {
|
|
const model = mimoReasoningModel("mimo-v2-pro");
|
|
const textMessage = {
|
|
role: "assistant",
|
|
content: [
|
|
{ type: "thinking", thinking: "internal" },
|
|
{ type: "text", text: "already visible" },
|
|
],
|
|
stopReason: "stop",
|
|
};
|
|
const toolMessage = {
|
|
role: "assistant",
|
|
content: [{ type: "thinking", thinking: "call reasoning" }, readToolCall],
|
|
stopReason: "toolUse",
|
|
};
|
|
|
|
for (const resultMessage of [textMessage, toolMessage]) {
|
|
const wrapped = requireThinkingWrapper(
|
|
createMiMoThinkingWrapper(createResultStreamFn({ resultMessage }), "high"),
|
|
"mixed-content",
|
|
);
|
|
const stream = (await wrapped(model, { messages: [] } as Context, {})) as FakeStream;
|
|
|
|
await expect(stream.result()).resolves.toEqual(resultMessage);
|
|
}
|
|
});
|
|
|
|
it("does not promote reasoning-only output for newer MiMo replay models", async () => {
|
|
const model = mimoReasoningModel("mimo-v2.5-pro");
|
|
const resultMessage = {
|
|
role: "assistant",
|
|
content: [{ type: "thinking", thinking: "actual reasoning" }],
|
|
stopReason: "stop",
|
|
};
|
|
const wrapped = requireThinkingWrapper(
|
|
createMiMoThinkingWrapper(createResultStreamFn({ resultMessage }), "high"),
|
|
"mimo-v2.5-pro",
|
|
);
|
|
const stream = (await wrapped(model, { messages: [] } as Context, {})) as FakeStream;
|
|
|
|
await expect(stream.result()).resolves.toEqual(resultMessage);
|
|
});
|
|
});
|